Welcome!

The Artificial Intelligence and Machine Learning (AIML) group, lead by Prof. Dr. Eirini Ntoutsi, focuses on researching and developing intelligent algorithms that address real-world data challenges and contribute to social good. Three fundamental questions drive our work: How can we build intelligent machines for the real world? Equally important, what kind of intelligence do we aspire to build? And, can AI exhibit creativity?

Our ongoing research includes:

  • Continuous learning over evolving data and data streams.
  • Responsible AI with a focus on fairness-aware machine learning and explainable AI.
  • Generative AI for improving data quality for AI and generating new data and solutions.

Our methods cover a diverse array of application fields, including education, social networks, banks, agriculture, manufacturing, and engineering.

We are part of Research Institute CODE for cybersecurity and smart data and the Department of Computer Science at the Bundeswehr University Munich (UniBwM). Previously, we have been working at the Freie Universität Berlin and Leibniz Universität Hannover/L3S Research Center.

News

12.09.2024

Eirini is co-organizing the 1st Workshop on Responsible AI co-located with SETN 2024 in Piraeus, Greece.

24.07.2024

Our paper “Transparent Neighborhood Approximation for Text Classifier Explanation by Probability-based Editing” was accepted at DSAA 2024. Congrats Yi.

15-19.07.2024

Eirini (together with Evaggelia Pitoura, Panayiotis Tsaparas and Kostas Stefanidis) gave an advanced course on “Fairness and Explainability - Models, Measurements and Mitigation Techniques” at ESSAI 2024 in Athens.

15.07.2024

Our paper “Synthetic Tabular Data Generation for Class Imbalance and Fairness - A Comparative Study” has been accepted at BIAS@ECMLPKDD 2024. Congrats Manolis and Arjun!

15.07.2024

Our paper “Adversarial Robustness of VAEs across Intersectional Subgroups” has been accepted at BIAS@ECMLPKDD 2024. Congrats Chethan and Arjun!

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